2017 ~ Present

Control Systems for Truck Fuel Economy Optimization Using Connectivity

Goals

This team is working in collaboration with the truck manufacturer Navistar to optimize the fuel economy of Class 8 heavy duty vehicles. Similar to automobiles, Class 8 trucks also incorporate a wealth of assistive technologies, including radar-based proximity sensors and wireless connectivity. Rather than re-engineering the existing mechanical systems of the vehicles, this team is modifying their electronic control systems be more aware of other nearby vehicles, both through onboard sensors and vehicle-to-vehicle/vehicle to infrastructure (V2V/V2I) communications. Given enough warning, trucks may be able to detect the braking/acceleration of vehicles several vehicles ahead, allowing them to automatically apply appropriate behaviors that result in dramatic fuel savings. Through the creation and simulation of optimal control strategies, this VIP team aims to make the shipping of freight by road more profitable for industry and cheaper for consumers.

Issues Involved or Addressed

Methods and Technologies

Academic Majors of Interest

  • Automotive Engineering
  • Mechanical Engineering

Preferred Interests and Preparation

Modeling Combustion Engines, Android Programming, Controls, Mechanical Design, Dynamic Modeling

Team Advisors

Prof. Gabor Orosz

Sponsor(s)